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BRETIGEA

1.0.3

Brain Cell Type Specific Gene Expression Analysis

0packages depend
3.8Kdownloads / year
92.1%test coverage
11/13checks pass

Overview

About
Maintained by Andrew McKenzieFirst published 2018-09-302 releasesCRAN page ↗

Analysis of relative cell type proportions in bulk gene expression data. Provides a well-validated set of brain cell type-specific marker genes derived from multiple types of experiments, as described in McKenzie (2018) doi:10.1038/s41598-018-27293-5. For brain tissue data sets, there are marker genes available for astrocytes, endothelial cells, microglia, neurons, oligodendrocytes, and oligodendrocyte precursor cells, derived from each of human, mice, and combination human/mouse data sets. However, if you have access to your own marker genes, the functions can be applied to bulk gene expression data from any tissue. Also implements multiple options for relative cell type proportion estimation using these marker genes, adapting and expanding on approaches from the 'CellCODE' R package described in Chikina (2015) doi:10.1093/bioinformatics/btv015. The number of cell type marker genes used in a given analysis can be increased or decreased based on your preferences and the data set. Finally, provides functions to use the estimates to adjust for variability in the relative proportion of cell types across samples prior to downstream analyses.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.24
92.1%
Coverage · measured lines
100%
Documentation · exports
0
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 409 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
64%

Downloads

3.8K
CRAN downloads in the past year
Rank #11,309 · ~10/day · ~313/mo
Daily download trend is not available in this view yet.
25730 days
87890 days
3.8K1 year
Compare downloads with other packages →
Also on130 r2u9 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (0)
none
LinkingTo (0)
none
Suggests (5)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)
no longer listed · 1.0.0 to 1.0.3
no longer listed · 1.0.0 to 1.0.3
no longer listed · 1.0.0 to 1.0.3
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.3Latest
    2021-05-05 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.0
    2018-09-30
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-09-30
Total releases
2 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.0.0
Bundled data
1.3 MB / 6 files
Download size
1.6 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BRETIGEA")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BRETIGEA version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-08. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-08, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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